Skoglund's research works span the fields of information theory, coding for wireless communications, applications in cyber security and signal processing.
Skoglund assessed how when the partial channel knowledge is sent to the transmitter, significant gains are received leading to attaining high-rate data communication, and improved performance in multiple-antenna wireless systems. His most cited work, “Combining beamforming and orthogonal space-time block coding” was the first to address the association between space-time coding and linear adaptive transmission. According to his research, in contrast to conventional methods when the proposed system combining the benefits of beamforming, and orthogonal space-time block coding was employed, significant gains were evident.[8] Prior to this, in a 2001 research study with George Jöngren, the significance of robustness of feedback information for improving the space-time block code with the linear transformation was determined for which they had a patent issued as well.[9]
In another of his research studies conducted in 2000, he looked into improving the performance of space-time code by the utilization of quantized feedback information, that consequently had led to the proposition of relying on non-perfect channel information.[10] Having discussed that, he has also focused his research on the quantized feedback with respect to rate and power control of algorithms, and determined how the changes in the channel can be addressed to the transmitter by the receiver, given the specific expected rate in the feedback link.[11]
Skoglund proposed the first multiple-user cooperative communications approach based on linear network coding in a 2011 research study. It presented the evidence for the deterministic diversity network codes (DNCs) and reported the diversity order to be significantly better than the other benchmark schemes. In addition to that, a simpler version of the proposed DNC was presented as well, which still have the potential to carry out similar performance such as the achieving the diversity order being 2 M – 1.[12] According to his research on design of network codes regarding the multiple-user multiple-relay (MUMR), it was reported that it is crucial to incorporate the MDS coding into the FFNC in order to attain finite field network coding (FFNC). While comparing the FFNC performance to the SC, a significantly better performance was evident for FFNC with respect to SC for the relays. Moreover, the research concluded that the proposed codes can obtain the diversity order in the nonorthogonal channels as well.[13] He has also expanded his research on the nested polar codes for wiretap and relay channels which showed that they can obtain the capacity-equivocation for the wiretap channel.[14] With respect to cooperative relaying in wireless networks, it was also illustrated the polar codes suitable for the following relays; decode-and-forward (DF) and compress-and-forward can attain gains in the energy and throughput efficiency.[15]
Skoglund has also researched source-channel coding with a particular focus on how the source-channel coding techniques can efficiently convey the channel information, and how the information can be utilized in the improvement of performance. In one of his research works, an innovative robust vector quantizer design was introduced for the joint source-channel coding.[16] His research work on source-channel decoding illustrated the framework aimed at reproducing quantized data over wireless channels with the use of soft information.[17] He also presented the hybrid digital and analog transmission framework aimed at allowing compression and expansion, and thus provided a robust performance for a channel variation system.[18] The joint design of the sensor measurement quantization over a noisy channel was also proposed by him. Having considered the control stabilization as the fundamental design criterion, he elaborated on the design elements of the proposed approach.[19]
Skoglund's research on information theory had made significant contributions to fields of wireless communication with an emphasis on exploring the issues regarding relaying and broadcasting. While considering the non-perfect channel information, he presented a fundamental theoretical model for the with respect to multi-antenna transmission link.[20] Later on in 2004, his research work was the first in the literature to examine the feedback link errors, and present an optimal scheme which succeeds in being robust against not only the estimation errors but the feedback channel noise as well.[21] His research on the wireless systems has also provided insights into the understanding diversity tradeoffs, and was the first to employ the diversity-multiplexing (D-M) tradeoff approach in order to characterize the wireless multiple-antenna schemes performance by the use of quantized channel feedback.[22] Another of his pioneering works concentrated upon providing the theoretical feasibility study focused on the cognitive radio in a frequency-planned environment.[4] He also researched the linear-relaying, and the piecewise linear (PL) relaying, and reported that PL relaying has a better performance than the conventional linear-relaying. Moreover, the research concluded that based on the source-channel decoding principles, the PL relaying has the potential to outperform complex relay protocols.[23] In another of his awarded research works, he explored the network coding strategies for wireless relay networks with backhaul, and significant gains were reported when compared to other benchmark schemes.[24]
